Knowledge Tree
robotics
Facts (21)
Sources
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 6 facts
referenceRobotics and autonomous systems often utilize a two-tier neuro-symbolic architecture where the first tier uses neural perception modules, such as convolutional neural networks, vision transformers, or event-based sensors, to segment scenes and instantiate logical atoms, while the second tier uses a symbolic task and motion planner to synthesize policies and enforce safety invariants.
procedureResearch in neuro-symbolic AI should emphasize developing real-time control systems for robotics and IoT environments, specifically focusing on interpretable feedback mechanisms and safe failure modes.
claimStaffa et al. demonstrated adaptable behavior modulation in dynamic environments for robotics using threshold tuning in neuro-symbolic networks.
claimCoraggio et al. introduced landmark-based self-localization systems for robotics that leverage minimal sensors.
claimThe NS-DR model incorporates neural dynamics for causal reasoning in video-based environments, enabling predictive physical interaction for robotics.
claimReal-time performance in neuro-symbolic AI is critical for domains such as robotics, autonomous vehicles, and telehealth, where decisions must be made under latency constraints.
What Is Open Source Software Licensing? - Coursera coursera.org Dec 9, 2025 1 fact
claimIndustries such as cloud computing, artificial intelligence, and robotics rely on open source software, as do organizations in health care, agriculture, and scientific research.
Open source software best practices and supply chain risk ... - GOV.UK gov.uk Mar 3, 2025 1 fact
claimNVIDIA open-sourced PhysX because physics simulation is foundational to AI, robotics, and computer vision, and open-sourcing allowed for wider development and application than NVIDIA could achieve alone.
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org 1 fact
claimThe concept of systems that follow instructions has been utilized in robotics and text-based agents since 1991.
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 1 fact
claimAutonomous agents facilitate automation by performing tasks that typically require human intervention, thereby enhancing efficiency and reducing operational costs in fields such as robotics, communication, financial trading, and healthcare.
Understanding LLM Understanding skywritingspress.ca Jun 14, 2024 1 fact
claimAlexei Efros posits that visual data can enhance the interaction capabilities of AI systems, potentially bridging the gap between visual perception and language understanding in robotics.
KR 2026 : 23rd International Conference on Principles of ... - WikiCFP wikicfp.com 1 fact
claimThe field of Knowledge Representation and Reasoning (KR) has contributed to AI areas including agents, automated planning, robotics, and natural language processing, as well as fields such as data management, the semantic web, verification, software engineering, computational biology, and cybersecurity.
Self-Consciousness - Open Encyclopedia of Cognitive Science oecs.mit.edu Jul 24, 2024 1 fact
referenceThe application of concepts regarding self and self-consciousness to robotics and artificial intelligence is a research area explored by Floridi (2005).
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimThe lack of integrated multimodal knowledge hinders knowledge graph-enhanced Large Language Models in performing tasks that require cross-modal understanding in domains such as healthcare, autonomous driving, and robotics.
2026 AI Outlook: From Vibe Coding to Neuro‑Symbolic Systems pub.towardsai.net Jan 22, 2026 1 fact
claimRobotics is identified as an AI trend for 2026.
Good Old-Fashioned Artificial Consciousness and the Intermediate ... frontiersin.org Apr 17, 2018 1 fact
claimThe paper 'Good Old-Fashioned Artificial Consciousness and the Intermediate Level Fallacy' identifies the 'intermediate level fallacy' as a concept relevant to artificial intelligence and robotics.
Nanomaterials in the future biotextile industry: A new cosmovision to ... frontiersin.org Dec 1, 2022 1 fact
referenceThe field of biotextiles involves the convergence of disciplines including biotechnology, nanotechnology, synthetic biology, polymer and material sciences, textile technology, design, assisted manufacturing and robotics, artificial intelligence, biomedical engineering, and genetic engineering, as noted by King et al. (2013).
Neurosymbolic AI: The Future of Artificial Intelligence - LinkedIn linkedin.com May 24, 2024 1 fact
claimNeurosymbolic AI enables robots to perform complex tasks in manufacturing, logistics, and service applications by learning from data and reasoning about task requirements and constraints.
Complexity and the Evolution of Consciousness | Biological Theory link.springer.com Sep 14, 2022 1 fact
claimThe author's definition of action includes minimal senses of activity, such as plants producing chemical defenses, and aligns with work in robotics, artificial intelligence, and cybernetics regarding the computational complexity of building a teleonomic system.
Unknown source 1 fact
referenceThe paper 'Good Old-Fashioned Artificial Consciousness and the Intermediate Level Fallacy' discusses the basic tenets of Good Old-Fashioned Artificial Consciousness (GOFAC) and their implications for artificial intelligence and robotics.
Open-source hardware - Wikipedia en.wikipedia.org 1 fact
claimOpen source robotics integrates open source hardware mechatronics with open source AI and control software, serving as an active area for the exchange of open source ideas between hardware and software domains.